Pixelwise Instance Segmentation with a Dynamically Instantiated Network

Understand

Semantic segmentation and object detection research have recently achieved rapid progress.

• However, the former task has no notion of different instances of the same object, and the latter operates at a coarse, bounding-box level.
• We propose an Instance Segmentation system that produces a segmentation map where each pixel is assigned an object class and instance identity label.
• Most approaches adapt object detectors to produce segments instead of boxes.